Patients, family members and providers perceive family-administered delirium detection tools in the adult ICU as feasible and of value to patient care and family member coping: a qualitative focus group study
Bibliographic record
Abstract
PURPOSE: While studies report on perceptions of family participation in delirium prevention, little is known about the use of family-administered delirium detection tools in the care of critically ill patients. This study sought the perspectives of patients, their family members, and healthcare providers on the use of family-administered delirium detection tools to detect delirium in critically ill patients and barriers and facilitators to using family-administered delirium detection tools in patient care. METHODS: In this qualitative study, critical care providers (five physicians, six registered nurses) and participants from the Family ICU Delirium Detection Study (seven past patients and family members) took part in four focus groups at one hospital in Calgary, Alberta. RESULTS: Key themes identified following thematic analysis from 18 participants included: 1) perceptions of acceptability of family-administered delirium detection (e.g., family feels valued, intensive care unit (ICU) care team may not use a family member's results, intensification of work load), 2) considerations regarding feasibility (e.g., insufficient knowledge, healthcare team buy-in), and 3) overarching strategies to support implementation into routine patient care (e.g., value of family-administered delirium detection for patients and families is well understood in the clinical context, regular communication between the family and ICU providers, an electronic version of the tool). CONCLUSIONS: Patients, family members and healthcare providers who participated in the focus groups perceived family participation in delirium detection and the use of family-administered delirium detection tools at the bedside as feasible and of value to patient care and family member coping. TRIAL REGISTRATION: www.ClinicalTrials.gov (NCT03379129); registered 15 December 2017.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".